mirror of
https://github.com/tcsenpai/ollama.git
synced 2025-06-07 03:35:21 +00:00
remove build scripts
This commit is contained in:
jmorganca
parent
b8c1065ab6
commit
3375b82c56
296
llama/Makefile
296
llama/Makefile
@ -1,146 +1,150 @@
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OS := $(shell uname -s)
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ARCH := $(or $(ARCH), $(shell uname -m))
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NVCC := nvcc
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HIP_PATH := $(shell cygpath -w -s "$(HIP_PATH)")
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HIPCC := "$(HIP_PATH)/bin/hipcc.bin.exe"
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ifeq ($(ARCH),x86_64)
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ARCH := amd64
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endif
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# Determine object file extension based on OS
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ifneq (,$(findstring MINGW,$(OS)))
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OBJ_EXT := obj
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SHARED_EXT := dll
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else
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OBJ_EXT := o
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SHARED_EXT := so
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endif
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CUDA_SRCS := \
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ggml-cuda.cu \
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$(wildcard ggml-cuda/*.cu) \
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$(wildcard ggml-cuda/template-instances/fattn-wmma*.cu) \
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$(wildcard ggml-cuda/template-instances/mmq*.cu) \
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$(wildcard ggml-cuda/template-instances/fattn-vec*q4_0-q4_0.cu) \
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$(wildcard ggml-cuda/template-instances/fattn-vec*q8_0-q8_0.cu) \
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$(wildcard ggml-cuda/template-instances/fattn-vec*f16-f16.cu) \
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ggml.c ggml-backend.c ggml-alloc.c ggml-quants.c sgemm.cpp
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CUDA_OBJS := $(CUDA_SRCS:.cu=.cuda.$(OBJ_EXT))
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CUDA_OBJS := $(CUDA_OBJS:.c=.cuda.$(OBJ_EXT))
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CUDA_OBJS := $(CUDA_OBJS:.cpp=.cuda.$(OBJ_EXT))
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HIP_OBJS := $(CUDA_SRCS:.cu=.hip.$(OBJ_EXT))
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HIP_OBJS := $(HIP_OBJS:.c=.hip.$(OBJ_EXT))
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HIP_OBJS := $(HIP_OBJS:.cpp=.hip.$(OBJ_EXT))
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CUDA_FLAGS := \
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--generate-code=arch=compute_50,code=[compute_50,sm_50] \
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--generate-code=arch=compute_52,code=[compute_52,sm_52] \
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--generate-code=arch=compute_61,code=[compute_61,sm_61] \
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--generate-code=arch=compute_70,code=[compute_70,sm_70] \
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--generate-code=arch=compute_75,code=[compute_75,sm_75] \
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--generate-code=arch=compute_80,code=[compute_80,sm_80] \
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-DGGML_CUDA_DMMV_X=32 \
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-DGGML_CUDA_PEER_MAX_BATCH_SIZE=128 \
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-DGGML_USE_CUDA=1 \
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-DGGML_SHARED=1 \
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-DGGML_BUILD=1 \
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-DGGML_USE_LLAMAFILE \
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-D_GNU_SOURCE \
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-DCMAKE_POSITION_INDEPENDENT_CODE=on \
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-Wno-deprecated-gpu-targets \
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--forward-unknown-to-host-compiler \
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-use_fast_math \
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-link \
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-shared \
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-I. \
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-O3
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HIP_ARCHS := gfx900 gfx940 gfx941 gfx942 gfx1010 gfx1012 gfx1030 gfx1100 gfx1101 gfx1102
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LINUX_HIP_ARCHS := gfx906:xnack- gfx908:xnack- gfx90a:xnack+ gfx90a:xnack-
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HIP_FLAGS := \
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-c \
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-O3 \
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-DGGML_USE_CUDA \
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-DGGML_BUILD=1 \
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-DGGML_SHARED=1 \
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-DGGML_CUDA_DMMV_X=32 \
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-DGGML_CUDA_MMV_Y=1 \
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-DGGML_SCHED_MAX_COPIES=4 \
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-DGGML_USE_HIPBLAS \
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-DGGML_USE_LLAMAFILE \
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-DHIP_FAST_MATH \
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-DNDEBUG \
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-DK_QUANTS_PER_ITERATION=2 \
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-D_CRT_SECURE_NO_WARNINGS \
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-DCMAKE_POSITION_INDEPENDENT_CODE=on \
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-D_GNU_SOURCE \
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-Wno-expansion-to-defined \
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-Wno-invalid-noreturn \
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-Wno-ignored-attributes \
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-Wno-pass-failed \
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-Wno-deprecated-declarations \
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-Wno-unused-result \
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-I. \
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$(foreach arch, $(HIP_ARCHS), --offload-arch=$(arch))
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ifeq ($(UNAME_S), Linux)
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HIP_FLAGS += $(foreach arch, $(LINUX_HIP_ARCHS), --offload-arch=$(arch))
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endif
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ifeq ($(OS),Darwin)
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ifeq ($(ARCH),arm64)
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all: ollama_runner
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else ifeq ($(ARCH),amd64)
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all: ollama_runner ollama_runner_avx ollama_runner_avx2
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endif
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else
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all: ollama_runner ollama_runner_avx ollama_runner_avx2 ollama_runner_cuda ollama_runner_rocm
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endif
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%.cuda.$(OBJ_EXT): %.cu
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$(NVCC) -c $(CUDA_FLAGS) -o $@ $<
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%.cuda.$(OBJ_EXT): %.c
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$(NVCC) -c $(CFLAGS) -o $@ $<
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%.cuda.$(OBJ_EXT): %.cpp
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$(NVCC) -c $(CXXFLAGS) -o $@ $<
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ggml_cuda.$(SHARED_EXT): $(CUDA_OBJS)
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nvcc --shared -lcuda -lcublas -lcudart -lcublasLt $(CUDA_FLAGS) $(CUDA_OBJS) -o $@
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%.hip.$(OBJ_EXT): %.cu
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$(HIPCC) -c $(HIP_FLAGS) -o $@ $<
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%.hip.$(OBJ_EXT): %.c
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$(HIPCC) -c $(CFLAGS) -o $@ $<
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%.hip.$(OBJ_EXT): %.cpp
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$(HIPCC) -c $(CXXFLAGS) -o $@ $<
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ggml_hipblas.$(SHARED_EXT): $(HIP_OBJS)
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$(HIPCC) --shared -lhipblas -lamdhip64 -lrocblas $(HIP_OBJS) -o $@
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ollama_runner:
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CGO_ENABLED=1 GOARCH=$(ARCH) go build -ldflags "-s -w" -o $@ ./runner
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ollama_runner_avx:
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CGO_ENABLED=1 GOARCH=$(ARCH) go build -ldflags "-s -w" -tags avx -o $@ ./runner
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ollama_runner_avx2:
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CGO_ENABLED=1 GOARCH=$(ARCH) go build -ldflags "-s -w" -tags avx,avx2 -o $@ ./runner
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ollama_runner_cuda: ggml_cuda.dll
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CGO_ENABLED=1 GOARCH=$(ARCH) go build -ldflags "-s -w" -tags avx,cuda -o $@ ./runner
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ollama_runner_rocm: ggml_hipblas.dll
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CGO_ENABLED=1 GOARCH=$(ARCH) go build -ldflags "-s -w" -tags avx,rocm -o $@ ./runner
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clean:
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rm -f $(CUDA_OBJS) $(HIP_OBJS) ggml_cuda.$(SHARED_EXT) ggml_cuda.* ggml_hipblas.* ollama_runner*
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.PHONY: all clean ollama_runner ollama_runner_avx ollama_runner_avx2 ollama_runner_cuda ollama_runner_rocm
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OS := $(shell uname -s)
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ARCH := $(or $(ARCH), $(shell uname -m))
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NVCC := nvcc
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export CGO_CFLAGS_ALLOW = -mfma|-mf16c
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export CGO_CXXFLAGS_ALLOW = -mfma|-mf16c
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ifeq ($(ARCH),x86_64)
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ARCH := amd64
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endif
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ifneq (,$(findstring MINGW,$(OS)))
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OBJ_EXT := obj
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SHARED_EXT := dll
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HIP_PATH := $(shell cygpath -w -s "$(HIP_PATH)")
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else
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OBJ_EXT := o
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SHARED_EXT := so
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endif
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CUDA_SRCS := \
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ggml-cuda.cu \
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$(wildcard ggml-cuda/*.cu) \
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$(wildcard ggml-cuda/template-instances/fattn-wmma*.cu) \
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$(wildcard ggml-cuda/template-instances/mmq*.cu) \
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$(wildcard ggml-cuda/template-instances/fattn-vec*q4_0-q4_0.cu) \
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$(wildcard ggml-cuda/template-instances/fattn-vec*q8_0-q8_0.cu) \
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$(wildcard ggml-cuda/template-instances/fattn-vec*f16-f16.cu) \
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ggml.c ggml-backend.c ggml-alloc.c ggml-quants.c sgemm.cpp
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CUDA_OBJS := $(CUDA_SRCS:.cu=.cuda.$(OBJ_EXT))
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CUDA_OBJS := $(CUDA_OBJS:.c=.cuda.$(OBJ_EXT))
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CUDA_OBJS := $(CUDA_OBJS:.cpp=.cuda.$(OBJ_EXT))
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HIP_OBJS := $(CUDA_SRCS:.cu=.hip.$(OBJ_EXT))
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HIP_OBJS := $(HIP_OBJS:.c=.hip.$(OBJ_EXT))
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HIP_OBJS := $(HIP_OBJS:.cpp=.hip.$(OBJ_EXT))
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CUDA_FLAGS := \
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--generate-code=arch=compute_50,code=[compute_50,sm_50] \
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--generate-code=arch=compute_52,code=[compute_52,sm_52] \
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--generate-code=arch=compute_61,code=[compute_61,sm_61] \
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--generate-code=arch=compute_70,code=[compute_70,sm_70] \
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--generate-code=arch=compute_75,code=[compute_75,sm_75] \
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--generate-code=arch=compute_80,code=[compute_80,sm_80] \
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-DGGML_CUDA_DMMV_X=32 \
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-DGGML_CUDA_PEER_MAX_BATCH_SIZE=128 \
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-DGGML_USE_CUDA=1 \
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-DGGML_SHARED=1 \
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-DGGML_BUILD=1 \
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-DGGML_USE_LLAMAFILE \
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-D_GNU_SOURCE \
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-DCMAKE_POSITION_INDEPENDENT_CODE=on \
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-Wno-deprecated-gpu-targets \
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--forward-unknown-to-host-compiler \
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-use_fast_math \
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-link \
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-shared \
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-I. \
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-O3
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HIP_ARCHS := gfx900 gfx940 gfx941 gfx942 gfx1010 gfx1012 gfx1030 gfx1100 gfx1101 gfx1102
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LINUX_HIP_ARCHS := gfx906:xnack- gfx908:xnack- gfx90a:xnack+ gfx90a:xnack-
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HIPCC := "$(HIP_PATH)/bin/hipcc.bin.exe"
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HIP_FLAGS := \
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-c \
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-O3 \
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-DGGML_USE_CUDA \
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-DGGML_BUILD=1 \
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-DGGML_SHARED=1 \
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-DGGML_CUDA_DMMV_X=32 \
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-DGGML_CUDA_MMV_Y=1 \
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-DGGML_SCHED_MAX_COPIES=4 \
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-DGGML_USE_HIPBLAS \
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-DGGML_USE_LLAMAFILE \
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-DHIP_FAST_MATH \
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-DNDEBUG \
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-DK_QUANTS_PER_ITERATION=2 \
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-D_CRT_SECURE_NO_WARNINGS \
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-DCMAKE_POSITION_INDEPENDENT_CODE=on \
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-D_GNU_SOURCE \
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-Wno-expansion-to-defined \
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-Wno-invalid-noreturn \
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-Wno-ignored-attributes \
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-Wno-pass-failed \
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-Wno-deprecated-declarations \
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-Wno-unused-result \
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-Xclang \
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--dependent-lib=msvcrt \
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-I. \
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$(foreach arch, $(HIP_ARCHS), --offload-arch=$(arch))
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ifeq ($(UNAME_S), Linux)
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HIP_FLAGS += $(foreach arch, $(LINUX_HIP_ARCHS), --offload-arch=$(arch))
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endif
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ifeq ($(OS),Darwin)
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ifeq ($(ARCH),arm64)
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all: ollama_runner
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else ifeq ($(ARCH),amd64)
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all: ollama_runner ollama_runner_avx ollama_runner_avx2
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endif
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else
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all: ollama_runner ollama_runner_avx ollama_runner_avx2 ollama_runner_cuda ollama_runner_rocm
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endif
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%.cuda.$(OBJ_EXT): %.cu
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$(NVCC) -c $(CUDA_FLAGS) -o $@ $<
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%.cuda.$(OBJ_EXT): %.c
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$(NVCC) -c $(CFLAGS) -o $@ $<
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%.cuda.$(OBJ_EXT): %.cpp
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$(NVCC) -c $(CXXFLAGS) -o $@ $<
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ggml_cuda.$(SHARED_EXT): $(CUDA_OBJS)
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nvcc --shared -lcuda -lcublas -lcudart -lcublasLt $(CUDA_FLAGS) $(CUDA_OBJS) -o $@
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%.hip.$(OBJ_EXT): %.cu
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$(HIPCC) -c $(HIP_FLAGS) -o $@ $<
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%.hip.$(OBJ_EXT): %.c
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$(HIPCC) -c $(CFLAGS) -o $@ $<
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%.hip.$(OBJ_EXT): %.cpp
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$(HIPCC) -c $(CXXFLAGS) -o $@ $<
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ggml_hipblas.$(SHARED_EXT): $(HIP_OBJS)
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$(HIPCC) --shared -lhipblas -lamdhip64 -lrocblas $(HIP_OBJS) -o $@
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ollama_runner:
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CGO_ENABLED=1 GOARCH=$(ARCH) go build -ldflags "-s -w" -o $@ ./runner
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ollama_runner_avx:
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CGO_ENABLED=1 GOARCH=$(ARCH) go build -ldflags "-s -w" -tags avx -o $@ ./runner
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ollama_runner_avx2:
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CGO_ENABLED=1 GOARCH=$(ARCH) go build -ldflags "-s -w" -tags avx,avx2 -o $@ ./runner
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ollama_runner_cuda: ggml_cuda.dll
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CGO_ENABLED=1 GOARCH=$(ARCH) go build -ldflags "-s -w" -tags avx,cuda -o $@ ./runner
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ollama_runner_rocm: ggml_hipblas.dll
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CGO_ENABLED=1 GOARCH=$(ARCH) go build -ldflags "-s -w" -tags avx,rocm -o $@ ./runner
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clean:
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rm -f $(CUDA_OBJS) $(HIP_OBJS) ggml_cuda.$(SHARED_EXT) ggml_cuda.* ggml_hipblas.* ollama_runner*
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.PHONY: all clean ollama_runner ollama_runner_avx ollama_runner_avx2 ollama_runner_cuda ollama_runner_rocm
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@ -13,11 +13,6 @@ Supported:
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- [x] Linux ROCm
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- [x] Llava
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Extra build steps are required for CUDA and ROCm on Windows since `nvcc` and `hipcc` both require using msvc as the host compiler. For these small dlls are created:
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- `ggml-cuda.dll`
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- `ggml-hipblas.dll`
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> Note: it's important that memory is allocated and freed by the same compiler (e.g. entirely by code compiled with msvc or mingw). Issues from this should be rare, but there are some places where pointers are returned by the CUDA or HIP runtimes and freed elsewhere, causing a a crash. In a future change the same runtime should be used in both cases to avoid crashes.
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## Building
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@ -46,11 +41,7 @@ go build -tags=avx,avx2 .
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### CUDA
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Install the [CUDA toolkit v11.3.1](https://developer.nvidia.com/cuda-11-3-1-download-archive) then build `libggml-cuda.so`:
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```shell
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./build_cuda.sh
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```
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Install the [CUDA toolkit v11.3.1](https://developer.nvidia.com/cuda-11-3-1-download-archive):
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Then build the package with the `cuda` tag:
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@ -69,7 +60,7 @@ Install the [CUDA toolkit v11.3.1](https://developer.nvidia.com/cuda-11-3-1-down
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Build `ggml-cuda.dll`:
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```shell
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./build_cuda.ps1
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make ggml_cuda.dll
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```
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Then build the package with the `cuda` tag:
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@ -82,10 +73,8 @@ go build -tags=cuda .
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Install [ROCm 5.7.1](https://rocm.docs.amd.com/en/docs-5.7.1/) and [Strawberry Perl](https://strawberryperl.com/).
|
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|
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Then, build `ggml-hipblas.dll`:
|
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|
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```shell
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./build_hipblas.sh
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make ggml_hipblas.dll
|
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```
|
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|
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Then build the package with the `rocm` tag:
|
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|
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@ -1,47 +0,0 @@
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#!/bin/bash
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|
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os="$(uname -s)"
|
||||
|
||||
if [[ "$os" == "Windows_NT" || "$os" == "MINGW64_NT"* ]]; then
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output="ggml-cuda.dll"
|
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else
|
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output="libggml-cuda.so"
|
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fi
|
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|
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nvcc \
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-t $(nproc) \
|
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--generate-code=arch=compute_50,code=[compute_50,sm_50] \
|
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--generate-code=arch=compute_52,code=[compute_52,sm_52] \
|
||||
--generate-code=arch=compute_61,code=[compute_61,sm_61] \
|
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--generate-code=arch=compute_70,code=[compute_70,sm_70] \
|
||||
--generate-code=arch=compute_75,code=[compute_75,sm_75] \
|
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--generate-code=arch=compute_80,code=[compute_80,sm_80] \
|
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-DGGML_CUDA_DMMV_X=32 \
|
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-DGGML_CUDA_PEER_MAX_BATCH_SIZE=128 \
|
||||
-DGGML_CUDA_MMV_Y=1 \
|
||||
-DGGML_USE_CUDA=1 \
|
||||
-DGGML_SHARED=1 \
|
||||
-DGGML_BUILD=1 \
|
||||
-DGGML_USE_LLAMAFILE \
|
||||
-D_GNU_SOURCE \
|
||||
-DCMAKE_POSITION_INDEPENDENT_CODE=on \
|
||||
-Wno-deprecated-gpu-targets \
|
||||
--forward-unknown-to-host-compiler \
|
||||
-use_fast_math \
|
||||
-link \
|
||||
-shared \
|
||||
-I. \
|
||||
-lcuda -lcublas -lcudart -lcublasLt \
|
||||
-O3 \
|
||||
-o $output \
|
||||
ggml-cuda.cu \
|
||||
ggml-cuda/*.cu \
|
||||
ggml-cuda/template-instances/fattn-wmma*.cu \
|
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ggml-cuda/template-instances/mmq*.cu \
|
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ggml-cuda/template-instances/fattn-vec*q4_0-q4_0.cu \
|
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ggml-cuda/template-instances/fattn-vec*q8_0-q8_0.cu \
|
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ggml-cuda/template-instances/fattn-vec*f16-f16.cu \
|
||||
ggml.c ggml-backend.c ggml-alloc.c ggml-quants.c sgemm.cpp
|
||||
|
||||
# -DGGML_CUDA_USE_GRAPHS=1
|
||||
# -DGGML_CUDA_FA_ALL_QUANTS=1
|
||||
@ -1,96 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
archs=(
|
||||
gfx900
|
||||
gfx940
|
||||
gfx941
|
||||
gfx942
|
||||
gfx1010
|
||||
gfx1012
|
||||
gfx1030
|
||||
gfx1100
|
||||
gfx1101
|
||||
gfx1102
|
||||
)
|
||||
|
||||
linux_archs=(
|
||||
gfx906:xnack-
|
||||
gfx908:xnack-
|
||||
gfx90a:xnack+
|
||||
gfx90a:xnack-
|
||||
)
|
||||
|
||||
os="$(uname -s)"
|
||||
|
||||
additional_flags=""
|
||||
|
||||
if [[ "$os" == "Windows_NT" || "$os" == "MINGW64_NT"* ]]; then
|
||||
output="ggml-hipblas.dll"
|
||||
additional_flags=" -Xclang --dependent-lib=msvcrt"
|
||||
else
|
||||
output="libggml-hipblas.so"
|
||||
archs+=("${linux_archs[@]}")
|
||||
fi
|
||||
|
||||
for arch in "${archs[@]}"; do
|
||||
additional_flags+=" --offload-arch=$arch"
|
||||
done
|
||||
|
||||
# Create an array of all source files, expanding globs
|
||||
sources=(
|
||||
$(echo ggml-cuda/template-instances/fattn-wmma*.cu)
|
||||
$(echo ggml-cuda/template-instances/mmq*.cu)
|
||||
$(echo ggml-cuda/template-instances/fattn-vec*q4_0-q4_0.cu)
|
||||
$(echo ggml-cuda/template-instances/fattn-vec*q8_0-q8_0.cu)
|
||||
$(echo ggml-cuda/template-instances/fattn-vec*f16-f16.cu)
|
||||
ggml-cuda.cu
|
||||
$(echo ggml-cuda/*.cu)
|
||||
ggml.c
|
||||
ggml-backend.c
|
||||
ggml-alloc.c
|
||||
ggml-quants.c
|
||||
sgemm.cpp
|
||||
)
|
||||
|
||||
# Function to compile a single source file
|
||||
compile_source() {
|
||||
src="$1"
|
||||
hipcc -c -O3 -DGGML_USE_CUDA -DGGML_BUILD=1 -DGGML_SHARED=1 -DGGML_CUDA_DMMV_X=32 -DGGML_CUDA_MMV_Y=1 \
|
||||
-DGGML_SCHED_MAX_COPIES=4 -DGGML_USE_HIPBLAS -DGGML_USE_LLAMAFILE -DHIP_FAST_MATH -DNDEBUG \
|
||||
-DK_QUANTS_PER_ITERATION=2 -D_CRT_SECURE_NO_WARNINGS -DCMAKE_POSITION_INDEPENDENT_CODE=on \
|
||||
-D_GNU_SOURCE -Wno-expansion-to-defined -Wno-invalid-noreturn -Wno-ignored-attributes -Wno-pass-failed \
|
||||
-Wno-deprecated-declarations -Wno-unused-result -I. \
|
||||
$additional_flags -o "${src%.cu}.o" "$src"
|
||||
}
|
||||
|
||||
# Function to handle Ctrl+C
|
||||
cleanup() {
|
||||
echo "Terminating all background processes..."
|
||||
kill 0
|
||||
}
|
||||
|
||||
# Set trap to handle SIGINT (Ctrl+C)
|
||||
trap cleanup SIGINT
|
||||
|
||||
# Limit the number of concurrent jobs
|
||||
max_jobs=$(nproc)
|
||||
job_count=0
|
||||
|
||||
for src in "${sources[@]}"; do
|
||||
echo "$src"
|
||||
compile_source "$src" &
|
||||
job_count=$((job_count + 1))
|
||||
if [[ $job_count -ge $max_jobs ]]; then
|
||||
wait -n
|
||||
job_count=$((job_count - 1))
|
||||
fi
|
||||
done
|
||||
|
||||
wait
|
||||
|
||||
# Link all object files into a shared library
|
||||
echo "Linking object files..."
|
||||
hipcc -v -shared -o $output *.o ggml-cuda/*.o ggml-cuda/template-instances/*.o -lhipblas -lamdhip64 -lrocblas
|
||||
|
||||
# Clean up object files after linking
|
||||
rm -f *.o ggml-cuda/*.o ggml-cuda/template-instances/*.o
|
||||
@ -23,8 +23,8 @@ package llama
|
||||
// #cgo rocm CFLAGS: -DGGML_USE_CUDA -DGGML_USE_HIPBLAS -DGGML_CUDA_DMMV_X=32 -DGGML_CUDA_PEER_MAX_BATCH_SIZE=128 -DGGML_CUDA_MMV_Y=1 -DGGML_BUILD=1
|
||||
// #cgo rocm CXXFLAGS: -DGGML_USE_CUDA -DGGML_USE_HIPBLAS -DGGML_CUDA_DMMV_X=32 -DGGML_CUDA_PEER_MAX_BATCH_SIZE=128 -DGGML_CUDA_MMV_Y=1 -DGGML_BUILD=1
|
||||
// #cgo rocm LDFLAGS: -L${SRCDIR} -lggml_hipblas -lhipblas -lamdhip64 -lrocblas
|
||||
// #cgo windows,cuda LDFLAGS: -L. -L"C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.3/lib/x64" -lggml_cuda -lcuda -lcudart -lcublas -lcublasLt
|
||||
// #cgo windows,rocm LDFLAGS: -L. -L"C:/Program Files/AMD/ROCm/5.7/lib"
|
||||
// #cgo windows,cuda LDFLAGS: -L${SRCDIR} -L"C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.3/lib/x64" -lggml_cuda -lcuda -lcudart -lcublas -lcublasLt
|
||||
// #cgo windows,rocm LDFLAGS: -L${SRCDIR} -L"C:/Program Files/AMD/ROCm/5.7/lib" -lggml_hipblas -lhipblas -lamdhip64 -lrocblas
|
||||
// #cgo linux,cuda LDFLAGS: -L${SRCDIR} -L/usr/local/cuda/lib64 -lggml_cuda -lcuda -lcudart -lcublas -lcublasLt -lpthread -ldl -lrt
|
||||
// #cgo linux,rocm LDFLAGS: -L/opt/rocm/lib
|
||||
// #include <stdlib.h>
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user